Evidence map›Paper›PMID 41269553›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Analysis of Cellular Metabolism Using Flow Cytometry.

Christos Aronis, Matteo Villa

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Christos AronisDivision of Rheumatology and Immunology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Matteo VillaDivision of Rheumatology and Immunology, Department of Internal Medicine, Medical University of Graz, Graz, Austria. matteo.villa@medunigraz.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The understanding that cellular metabolism underlines the differentiation, activation, and function of immune cells has opened new avenues to modulate immunity. Here, we describe a method to analyze cellular metabolism using the quintessential immunological technique: flow cytometry. We analyze single cell suspensions, by combining the staining of surface immune cell markers and nutrient transporters, with the staining using metabolic dyes, to readout surrogates of metabolic pathway utilization with cell subset resolution.

Indexed as

Flow CytometrySingle-Cell AnalysisAnimalsBiomarkersHumansMetabolic Networks and PathwaysStaining and LabelingBiomarkersCellular metabolismFlow cytometryMetabolic dyesSingle cell analysisSurface nutrient transporters

Identifiers

PMID41269553

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.